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51 search results found

Mediapipe ⭐ 24,511

Cross-platform, customizable ML solutions for live and streaming media.

Supervision ⭐ 9,320

We write your reusable computer vision tools. 💜

Qualityscaler ⭐ 1,519

QualityScaler - image/video AI upscaler app

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

High-performance Vision library in Python. Scale your research, not boilerplate.

Vectorhub ⭐ 546

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Pipeless ⭐ 534

An open-source computer vision framework to build and deploy apps in minutes

TOFlow: Video Enhancement with Task-Oriented Flow

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

Unsupervised Video ⭐ 223

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

Actionvlad ⭐ 201

ActionVLAD for video action classification (CVPR 2017)

Realscaler ⭐ 199

RealScaler - image/video AI upscaler app (Real-ESRGAN)

Humanfalldetection ⭐ 198

Real-time, Multi-person & Multi-camera Fall Detector in Python

Implicit Internal Video Inpainting ⭐ 186

[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

Video_pipe_c ⭐ 181

a plugin-oriented framework for video structured. 国产程序员请加微信zhzhi78拉群交流，觉得有帮助的请给个星星：）。

Computer Vision Video Lectures ⭐ 173

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

Abnormal_event_detection ⭐ 172

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Oneapi Spec ⭐ 156

oneAPI Specification source files

Collection of Docker images for ML/DL and video processing projects

Wacv2024 Safa ⭐ 77

WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

Smart Traffic Signals In India Using Deep Reinforcement Learning And Advanced Computer Vision ⭐ 55

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Rekognition ⭐ 54

Free and Open Source alternative to Amazon's Rekognition service. CCExtractor Development | Poor Man's Rekognition

Video Frame Interpolation Rankings And Video Deblurring Rankings ⭐ 50

Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR H-VFI IFRNet JNMR MA-GCSPA NCM PRF RIFE SoftSplat ST-MFNet TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIT VIDUE VRT

Neweraai Papers ⭐ 42

The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Stay up to date with the latest advances in AI research!

Rfda Pytorch ⭐ 41

Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement / Video Compression Artifact Reduction

High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices

Ikomiastudio ⭐ 36

Your open-source UI software for Computer Vision applications

Videosearchengine ⭐ 34

Semantically be able to search through a database of videos (using generated summaries)

Ball Action Spotting ⭐ 31

SoccerNet | 1st place solution for Ball Action Spotting Challenge 2023

Conv3d Video Action Recognition ⭐ 31

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors

Personmask_tflite ⭐ 31

Real-time CPU person segmentation for privacy in video calls

ETA: Extensible Toolkit for Analytics

Distributed Inference ⭐ 26

A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.

Unsupervised 2017 Cvprw ⭐ 25

Disentangling Motion, Foreground and Background Features in Videos

Deepvisualminer ⭐ 21

Deep visual mining for your photos and videos using YOLOv2 deep convolutional neural network based object detector and traditional face recognition algorithms

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

Moviescope ⭐ 21

Using movie trailers to identify Genre | Deep Learning for Video Classification

Torchaug ⭐ 20

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

Deep Embedded Memory Networks ⭐ 20

https://arxiv.org/abs/1707.00836

[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes

Blockcopy Video Processing Pytorch ⭐ 17

BlockCopy (ICCV2021) implementation in PyTorch, accelerating neural networks with block-sparse execution

Tennis_action_recognition ⭐ 16

Using deep learning to perform action recognition in the sport of tennis.

Mediapipe_plus ⭐ 16

The purpose of this project is to apply mediapipe to more AI chips.

Yolodotnet ⭐ 15

YoloDotNet is a C# .NET 8.0 implementation of Yolov8 and ONNX runtime with CUDA

Reproducible Video Denoising State Of The Art ⭐ 15

Collection of popular and reproducible video denoising works.

Diverse Video Generation using a Gaussian Process Trigger

Video_analysis ⭐ 11

Recognize faces and objects in the video based on Milvus.

Deepepisodicmemory ⭐ 10

Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)

Scotch And Soda ⭐ 9

[CVPR'23] Code for "SCOTCH and SODA: A Transformer Video Shadow Detection Framework".

Code for the Change-Based Inference Paper (CBinfer)

Applying pre-trained CNN and clustering algorithms on recognizing people in videos

B7b_el_cima ⭐ 6

An application that converts black and white videos or images into colored and nice ones.

Early Detection Of Collective Or Individual Theft Attempts Us Ing Long Term Recurrent Convolutional ⭐ 5

I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyze the movement into two primary classifications: the natural movement, and the suspicious movement (with the percentage of each of them being determined.” Thus, the system appears, depending on the percentage of the type of movement, whether the possibility of theft is high or low, or the Confusion mov

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